Open Master Assignments
Computer Vision and Biometrics
- Computer Vision and Biometrics
- Morphing robust face recognition
- FISWG AUTO: Automatic extraction and use of forensic facial features
- Diving video classification with VLMs foundation models
- Understanding how video is classified
- Analyzing Visual and Identity-Level Differences Between Synthetic and Real Face Datasets
- Heritage biometrics – 3D acquisition design for fingerprints, scratches and toolmarks on works of art
- Will it fail? Generating videos of actions fails
- Deriving text descriptions from visual model's predictions
- Heritage Biometrics: does every painter paint himself?
- Heritage biometrics – artist profiling from 3D fingerprints
- Temporal Surgical Video Segmentation for Medical Dataset Curation
- Surgical Phase Pattern Recognition from Video Data
- Driver Behavior Understanding for Monitoring Fatigue and Anomalous Behavior in Autonomous Driving
- Discovery of missing objects in predefined scene images
- Pose Estimation in Handball Videos for Personalized Training
- Egocentric vision for human behaviour understanding
- Understanding the Effect of Image Quality and Resolution on Skin Lesion Recognition
- Recognition of Crops Relevant for Food Security from Images – Dataset Compilation and Classification Framework Design
- Benchmarking Medical Class-OOD (aka Open Set Recognition) Detection
- OOD detection on MediCLIP
- Can Normalizing Disentangled Flows Detect OOD data?
- Medical OOD detection with an Exponentially Tilted Gaussian Prior for beta-Variational Autoencoders
- Can you find the Gorilla in the CT scan? (2 topics: Sample and Object level)
- Why can’t Vision-Language Models like CLIP find OOD data in medical images? Or can they? How?
- Can Normalizing Disentangled Flows Detect OOD data?
- Disentangled Flows for Face editing
- Disentangled Flows for Anomaly Detection
- Self-Supervised Out-of-Distribution Detection
- Unsupervised Anomaly Detection Under Domain Shifts
- Medical OOD Segmentation Detection
- Medical Segmentation Foundation Model Generalizability
- Detecting medical distribution shifts in hyperbolic spaces
- Hyperbolic VAEs for better detection of out of distribution medical images
- Hyperbolic Vision Language Models (VLMs) in medical imaging
- Visual Prompt Tuning for Generalized Medical Foundation Models
- Medical Foundation Models and Statistics for Detecting Distribution Drifts in Medical Data
- AUTO: Auto encoders in face recognition
- DIET: from obese data to sparse face models
- Evaluation of AI-driven interpretation on microscopic images in oncology
- Visual place recognition
- TURBULENCE: 2D gen – 3D pose pipeline – atmospheric turbulence
- Building an Artificial Nose: Development of an Automated Odour-Control Chamber
- Teaching Computers to Smell: Machine Learning for Artificial Odour Recognition
Data Engineering
- Data Engineering
- Analysing coaching and therapy reports with Natural Language Processing/LLMs (Dutch, CS&BIT)
- Natural Language Processing for diagnosis of patients with unexplainable Left Ventricle Hypertrofia
- Lifestyle Data Futures
- Process mining in health care : Optimisation of endometriosis care in MST with the use of process mining
Machine Learning
- Machine Learning
- Virtual symphony: matching off-tempo audio from different instruments
- BABY BRAINS 3: Development Aware Pediatric Brain MRI Segmentation
- BABY BRAINS 1: Investigating Dataset Dependency and Cross-Dataset Generalization of Medical Imaging Foundation Models for Pediatric Brain Segmentation
- BABY BRAINS 2: Parameter-Efficient Adaptation of Medical Imaging Foundation Models for Pediatric Brain MRI Segmentation
- Personalized risk prediction for asthma deterioration in children
- Uni-modal to multi-modal model merging
- AI in Healthcare: Solving real-world challenges in a regional hospital
- Develop an LLM Benchmark for Dutch Healthcare
- Enhancing COVID-19 Infection Network Inference: An Optimization Approach for Selecting the Regularization Parameter in the NIPA Algorithm
- BBI Process Mining: Predict the remaining processing time of a pallet for an automated refrigerated warehouse
- Machine learning to quantify e3value business models
- Process Mining Pancreascarcinoom
- Event-streaming Algorithm for Self-adaptive Distributed Vehicle Route Guidance in Urban Networks
- Comparing attack graphs with business process models for modeling attacker strategies
- Optimisation of Complication Registration with Text Mining and Machine Learning
- LegalTech: AI and Legal processes
- Advancing Healthcare Process Simulation: Automating Discrete Event Models from Process Data
- Algorithm Development for Analysis of Heart Tissue
- Artificial Intelligence against Cancer
- AERIAL IMAGE SEGMENTATION WITH DATA-EFFICIENT ADAPTATION OF FOUNDATION MODELS
- Auto Data Evaluation using Machine Learning @ROSEN Enschede
- Object Detection for Water Pipeline Inspection @ROSEN Enschede
- Autoncoders and Recovering High Frequency Components
- BIO marker-based COVID Severity prediction and data quality exploration
- Decoding EMG using A Riemannian Geometry approach
- Decoding EMG using Autoencoders
- Explainable Machine Learning
- Explaining Estrus Classifications
- Large-scale data mining & NLP @ OCLC - Leiden, NL
- Machine Learning
- Deep learning in medical imaging project in Berlin using 3D-printed phantom
- Digital media - using neural networks for steganography
- Fourier-basis noise image data augmentation for CNN robustness
- Deblurring and disentangled representations of cell images via deep learning
- Detect and correct wrong transliterations
- Deep learning techniques for deblurring cell images utilizing geometry
- Exploring Inhibition in Vision Transformers
- How do different down-sampling methods affect neural networks’ reaction towards different frequencies?
- Motion magnification for engineered heart tissue microscopy videos
- Learning temporally-extended state and action representations in Deep Reinforcement Learning
- Automated Algorithm Configuration of Sparse Neural Networks
- Point Cloud Classification using Context based Feature Engineering
- Project: E-Manager Chronic Diseases
- Semi-Supervised Deep Learning for Point Cloud Classification
- Using physiological signals to monitor mental state of Cybersecurity experts at Dutch Bank